
where we follow [1]} to implement \(\mathrm {Attention}\) .
The output \(\mathbf {h}_{s}^{topic}(t)\)  is the topic embedding fused for sentence \(s\) .
In this way, a sentence can be trained to attend to more relevant topics with higher weights.
